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Solr Cookbook - Third Edition

You're reading from  Solr Cookbook - Third Edition

Product type Book
Published in Jan 2015
Publisher
ISBN-13 9781783553150
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Rafal Kuc Rafal Kuc
Profile icon Rafal Kuc

Table of Contents (18) Chapters

Solr Cookbook Third Edition
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Apache Solr Configuration 2. Indexing Your Data 3. Analyzing Your Text Data 4. Querying Solr 5. Faceting 6. Improving Solr Performance 7. In the Cloud 8. Using Additional Functionalities 9. Dealing with Problems 10. Real-life Situations Index

Indexing multiple geographical points


Let's assume we have a website allowing you to search for companies not only using key words but also using a geographical location. In the real world, companies tend to have more than a single location. This is where we hit a limitation in the default spatial field used by Solr; we can only have a single location indexed using it. So, we have to create multiple documents for each company location and use group collapsing, or we can use a different field type that allows multivalued location fields. The recipe will show you how to do the latter.

How to do it...

The following steps will take you through the process of enabling the indexation of multivalued spatial fields.

  1. First, we need to prepare our index structure by adding the following section to the schema.xml file:

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="name" type="text_general" indexed="true" stored="true" />
    <field name="loc" type...
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